Case Study: a global biotech pioneer achieves faster, more efficient insights with Stardog and Databricks

Global Biotech Pioneer boosts analyst productivity and cuts QA report time with Stardog

A multinational biotech firm faced significant challenges due to cross-functional data being trapped in silos across its drug development and commercialization lifecycle. This made it difficult to unify and analyze large volumes of data, which limited insights, slowed progress, and hampered collaboration. To overcome this, the organization turned to Stardog to create a connected data fabric.

By implementing Stardog alongside Databricks, the company added a semantic layer to its lakehouse, enabling schema harmonization and data linking. This solution unlocked value by accelerating business solutions, allowing for unified queries and improved data quality. Stardog's platform increased analyst efficiency and productivity, reduced the time to build manufacturing QA reports, and enabled faster, better decision-making across the entire global supply chain.